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» Feature Mining for Image Classification
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127
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ICIAP
2005
ACM
16 years 2 months ago
Facial Expression Recognition Based on the Belief Theory: Comparison with Different Classifiers
This paper presents a system for classifying facial expressions based on a data fusion process relying on the Belief Theory (BeT). Four expressions are considered: joy, surprise, d...
Zakia Hammal, L. Couvreur, Alice Caplier, Mich&egr...
97
Voted
EWCBR
2008
Springer
15 years 4 months ago
Visualizing and Evaluating Complexity of Textual Case Bases
We present an approach to visualize textual case bases by "stacking" similar cases and features close to each other in an image derived from the casefeature matrix. We pr...
Sutanu Chakraborti, Ulises Cerviño Beresi, ...
ICIP
2010
IEEE
14 years 11 months ago
Automatic target recognition based on simultaneous sparse representation
In this paper, an automatic target recognition algorithm is presented based on a framework for learning dictionaries for simultaneous sparse signal representation and feature extr...
Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellap...
120
Voted
CVPR
2009
IEEE
16 years 9 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
ICIP
2007
IEEE
15 years 6 months ago
Lipreading by Locality Discriminant Graph
The major problem in building a good lipreading system is to extract effective visual features from enormous quantity of video sequences data. For appearance-based feature analysi...
Yun Fu, Xi Zhou, Ming Liu, Mark Hasegawa-Johnson, ...